mDIXON-Quant for differentiation of renal damage degree in patients with chronic kidney disease

Background Chronic kidney disease (CKD) is a complex syndrome with high morbidity and slow progression. Early stages of CKD are asymptomatic and lack of awareness at this stage allows CKD to progress through to advanced stages. Early detection of CKD is critical for the early intervention and prognosis improvement. Purpose To assess the capability of mDIXON-Quant imaging to detect early CKD and evaluate the degree of renal damage in patients with CKD. Study type Retrospective. Population 35 patients with CKD: 18 cases were classifified as the mild renal damage group (group A) and 17 cases were classifified as the moderate to severe renal damage group (group B). 22 healthy volunteers (group C). Field strength/sequence A 3.0 T/T1WI, T2WI and mDIXON-Quant sequences. Assessment Transverse relaxation rate (R2*) values and fat fraction (FF) values derived from the mDIXON-Quant were calculated and compared among the three groups. Statistical tests The intra-class correlation (ICC) test; Chi-square test or Fisher’s exact test; Shapiro-Wilk test; Kruskal Wallis test with adjustments for multiplicity (Bonferroni test); Area under the receiver operating characteristic (ROC) curve (AUC). The significance threshold was set at P < 0.05. Results Cortex FF values and cortex R2* values were significantly different among the three groups (P=0.028, <0.001), while medulla R2* values and medulla FF values were not (P=0.110, 0.139). Cortex FF values of group B was significantly higher than that of group A (Bonferroni adjusted P = 0.027). Cortex R2* values of group A and group B were both significantly higher than that of group C (Bonferroni adjusted P = 0.012, 0.001). The AUC of cortex FF values in distinguishing group A and group B was 0.766. The diagnostic efficiency of cortex R2* values in distinguishing group A vs. group C and group B vs. group C were 0.788 and 0.829. Conclusion The mDIXON-Quant imaging had a potential clinical value in early diagnosis of CKD and assessing the degree of renal damage in CKD patients.

[1]  Xia Li,et al.  Renal fat fraction is significantly associated with the risk of chronic kidney disease in patients with type 2 diabetes , 2022, Frontiers in Endocrinology.

[2]  Shaker Wagih Shaltout,et al.  Clinical Spectrum of Nonalcoholic Fatty Liver Disease in Patients with Chronic Obstructive Pulmonary Disease , 2022, Turkish thoracic journal.

[3]  L. Gesualdo,et al.  Obesity-Related Chronic Kidney Disease: Principal Mechanisms and New Approaches in Nutritional Management , 2022, Frontiers in Nutrition.

[4]  A. Avolio,et al.  Relationship between Arterial Stiffness and Renal Function Determined by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Equations in a Chinese Cohort Undergoing Health Examination , 2022, BioMed research international.

[5]  Bin Wang,et al.  Hypoxia and chronic kidney disease , 2022, EBioMedicine.

[6]  Ailian Liu,et al.  Amide proton transfer magnetic resonance imaging to evaluate renal impairment in patients with chronic kidney disease. , 2021, Magnetic resonance imaging.

[7]  A. Morgan,et al.  A Narrative Review of Chronic Kidney Disease in Clinical Practice: Current Challenges and Future Perspectives , 2021, Advances in Therapy.

[8]  Kai Xu,et al.  Evaluation of Renal Tissue Oxygenation Using Blood Oxygen Level-Dependent Magnetic Resonance Imaging in Chronic Kidney Disease , 2021, Kidney and Blood Pressure Research.

[9]  J. M. Mora-Gutiérrez,et al.  Perspectives on the Role of Magnetic Resonance Imaging (MRI) for Noninvasive Evaluation of Diabetic Kidney Disease , 2021, Journal of clinical medicine.

[10]  Chi D. Chu,et al.  Patient Awareness of CKD: A Systematic Review and Meta-analysis of Patient-Oriented Questions and Study Setting , 2021, Kidney medicine.

[11]  Yanbin Dong,et al.  Intermuscular Fat Content in Young Chinese Men With Newly Diagnosed Type 2 Diabetes: Based on MR mDIXON-Quant Quantitative Technique , 2021, Frontiers in Endocrinology.

[12]  B. Hack,et al.  Medullary Blood Oxygen Level-Dependent MRI Index (R2*) is Associated with Annual Loss of Kidney Function in Moderate CKD , 2021, American Journal of Nephrology.

[13]  Thierry Urruty,et al.  Recent advances in medical image processing for the evaluation of chronic kidney disease , 2021, Medical Image Anal..

[14]  U. Goenka,et al.  Quantification of Liver Fat by MRI-PDFF Imaging in Patients with Suspected Non-alcoholic Fatty Liver Disease and Its Correlation with Metabolic Syndrome, Liver Function Test and Ultrasonography. , 2020, Journal of clinical and experimental hepatology.

[15]  You-Zhen Feng,et al.  Combined application of DTI and BOLD-MRI in the assessment of renal injury with hyperuricemia , 2020, Abdominal Radiology.

[16]  Yi Liao,et al.  Noninvasive evaluation of renal oxygenation in children with chronic kidney disease using blood-oxygen-level-dependent magnetic resonance imaging , 2020, Pediatric Radiology.

[17]  A. Ammirati Chronic Kidney Disease. , 2020, Revista da Associacao Medica Brasileira.

[18]  Zhengyang Zhou,et al.  Evaluation of salivary gland fat fraction values in patients with primary Sjögren's syndrome by mDIXON quant imaging: Initial findings. , 2019, European journal of radiology.

[19]  M. Pruijm,et al.  Renal BOLD MRI in patients with chronic kidney disease: comparison of the semi-automated twelve layer concentric objects (TLCO) and manual ROI methods , 2019, Magnetic Resonance Materials in Physics, Biology and Medicine.

[20]  A. Jan,et al.  BMI Classification Percentile And Cut Off Points , 2019 .

[21]  Lei Zhang,et al.  Current Challenges and Future Perspectives , 2019, Advanced Materials for Sodium Ion Storage.

[22]  R. Braren,et al.  Acceleration of chemical shift encoding-based water fat MRI for liver proton density fat fraction and T2* mapping using compressed sensing , 2019, PloS one.

[23]  R. Inagi,et al.  Lipotoxicity in Kidney, Heart, and Skeletal Muscle Dysfunction , 2019, Nutrients.

[24]  G. Kullak-Ublick,et al.  Lipid Accumulation and Chronic Kidney Disease , 2019, Nutrients.

[25]  Samantha Sutton-Tsang Initial findings , 2019, Nursery World.

[26]  B. Hack,et al.  Cortical Perfusion and Tubular Function as Evaluated by Magnetic Resonance Imaging Correlates with Annual Loss in Renal Function in Moderate Chronic Kidney Disease , 2019, American Journal of Nephrology.

[27]  Mingqian Huang,et al.  Prediction of Abnormal Bone Density and Osteoporosis From Lumbar Spine MR Using Modified Dixon Quant in 257 Subjects With Quantitative Computed Tomography as Reference , 2018, Journal of magnetic resonance imaging : JMRI.

[28]  N. Veronese,et al.  Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence. , 2018, Diagnostic and interventional radiology.

[29]  Yuelang Zhang,et al.  Application of BOLD-MRI in the classification of renal function in chronic kidney disease , 2018, Abdominal Radiology.

[30]  M. Stuber,et al.  Reduced cortical oxygenation predicts a progressive decline of renal function in patients with chronic kidney disease. , 2018, Kidney international.

[31]  Chun-Qiang Lu,et al.  Renal fat fraction and diffusion tensor imaging in patients with early-stage diabetic nephropathy , 2018, European Radiology.

[32]  I. Pedrosa,et al.  Quantification of renal steatosis in type II diabetes mellitus using dixon‐based MRI , 2016, Journal of magnetic resonance imaging : JMRI.

[33]  M. Stuber,et al.  Reduction of cortical oxygenation in chronic kidney disease: evidence obtained with a new analysis method of blood oxygenation level-dependent magnetic resonance imaging , 2016, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[34]  Wei Li,et al.  Multi-Parametric Evaluation of Chronic Kidney Disease by MRI: A Preliminary Cross-Sectional Study , 2015, PloS one.

[35]  Harold I Feldman,et al.  KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. , 2014, American journal of kidney diseases : the official journal of the National Kidney Foundation.